Data warehousing, data mining, and OLAP / Alex Berson, Stephen J. Smith.

Includes bibliographical references and index.

Part.1. Foundation -- Ch.1. Introduction to data warehousing -- Ch.2. Client / server computing model and data warehousing -- Ch.3. Parallel processing and cluster systems -- Ch.4. Distributed DBMS Implementations -- Ch.5. Client/ server RDBMS solutions -- Part.2. Data warehousing -- Ch.6. Data warehousing components -- Ch.7. Building a data warehouse -- Ch.8. Mapping the data warehouse to a multiprocessor architecture -- Ch.9. DBMS schemas for decision support -- Ch.10. Data extraction, cleanup, and transformation tools -- Ch.11. Metadata -- Part.3. Business analysis -- Ch.12. Reporting and query tools and applications -- Ch.13. On-Line analytical processing (OLAP) -- Ch.14. Patterns and models -- Ch.15. Statistics -- Ch.16. Artificial intelligence -- Part.4. Data mining -- Ch.17. Introduction to data mining -- Ch.18. Decision trees -- Ch.19. Neural networks -- Ch.20. Nearest neighbor and clustering -- Ch.21. Genetic algorithms -- Ch.22. Rule induction -- Ch.23. Selecting and using the right technique -- Part.5. Data visualization and overall perspective -- Ch.24. Data visualization -- Ch.25. Putting it all together -- Appendix